I am an engineer and technical leader working at the intersection of embedded systems, edge computing, sensor technology, applied AI and health research.

I build complete technical systems that bring together embedded hardware, edge computing and AI, communications, analytics and user interfaces.

My work focuses on turning research ideas into dependable, deployable solutions, from integrating wearable and environmental sensors to building firmware, connected devices, edge services, data pipelines, analytics platforms and operational interfaces.

Public repositories on this profile are experimental.

• ⚙️ Embedded systems and connected hardware
• 📡 Sensor integration, data acquisition and communications
• 🖥️ Edge computing and distributed software
• 🧠 Applied AI and local model execution
• 📊 Data processing, analytics and visualisation
• 🌐 APIs, web applications and user interfaces
• 🔬 Research-to-deployment engineering
• ❤️ Digital health and human performance technology
• 🧰 Open-source tools for sensor-driven systems

I lead the development of Nexus N3, an open and extensible toolchain for building complete sensor-driven research and operational systems.

Nexus N3 brings together sensors, embedded hardware, communications, edge computing, AI, algorithms, analytics and user-facing workflows. It supports systems that need to operate locally, reliably and independently of continuous cloud connectivity.

At RightStep Health, I work across engineering, research and product development to build practical technology for health, human performance and remote monitoring.

This includes embedded devices, sensor systems, communications, edge infrastructure, cloud services, analytics platforms, AI-enabled workflows and user-facing applications.

• Building complete systems from embedded devices through to user interfaces
• Developing scalable BLE infrastructure for multi-sensor systems
• Creating embedded gateways and edge-connected hardware
• Building edge services, APIs and operational web applications
• Developing modular sensor and algorithm plugin architectures
• Applying local AI and analytics to sensor-driven workflows
• Supporting systems that work online, offline and in remote environments
• Moving health and human-performance technology from prototype to deployment
• Publishing practical open-source engineering tools through Nexus N3